Biao Li

11.7k citations
387 papers · 7.4k · 1 hit paper · h-index 40

Impact in

Papers in

Biao Li

363 papers receiving 7.3k citations

Biao Li's Hit Papers

Automated inference of molecular mechanisms of disease from amino acid substitutions 2009 · 623 citations
6230+5+11Years since publication200400600

Peers

Biao Li
Comparison fields: 5 of 184
  • Cancer Research 1.2k
  • Geriatrics and Gerontology 264
  • Molecular Biology 3.1k
  • Orthodontics 149
  • Genetics 915
Replace Hiroshi Inoue with:
Hiroshi Inoue Japan
Shih‐Hwa Chiou Taiwan
Fumiaki Sato Japan
Xu Dong Zhang China
Cun‐Yu Wang United States
He Wang China
Toshihiro Tanaka Japan
Merry L. Lindsey United States
Tong‐Chuan He United States
Liu Yang China
Biao Li relative to Hiroshi Inoue Japan Hiroshi Inoue's profile →
Citations per field
00.5×1.5×2.5×
Hiroshi Inoue · 1×
Citations per year

Countries citing papers authored by Biao Li

Since Specialization
Citations

This map shows the geographic impact of Biao Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Biao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Li more than expected).

Fields of papers citing papers by Biao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biao Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Biao Li. The network helps show where Biao Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Biao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Biao Li Line = papers co-authored together Biao Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 387 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated inference of molecular mechanisms of disease from amino acid substitutions
Hit paper breakdown →
2009623
2 2009379
3 2013359
4 2012300
5 2013149
6 2011149
7 2017143
8 2011118
9 2014114
10 2015110
11 201196
12 201594
13 201994
14 201587
15 200683
16 201776
17
CpG methylation as a basis for breast tumor-specific loss of NES1/kallikrein 10 expression.
200172
18 200663
19 202162
20 201962

About Biao Li

Biao Li is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Cancer Research, having authored 387 papers that have together received 7.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Cancer, Hypoxia, and Metabolism (19 papers), Adipose Tissue and Metabolism (17 papers), Genetic Associations and Epidemiology (14 papers), RNA modifications and cancer (13 papers), Virus-based gene therapy research (13 papers) and Peptidase Inhibition and Analysis (13 papers). The work is most often cited by research in Cancer Research (1.2k citations), Geriatrics and Gerontology (264 citations), Molecular Biology (3.1k citations), Orthodontics (149 citations) and Genetics (915 citations). Biao Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Sean D. Mooney, Predrag Radivojac, D.N. Cooper, Matthew Mort, Min Zhang, Vidhya G. Krishnan, Fuxiao Xin, Sheng Liang, Rui Guo and Steve Guofang Shen. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Colloids and Surfaces B Biointerfaces, PLoS ONE, Frontiers in Oncology and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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